Arash Abarghooei

Sharif University of Technology

Papers

1

Total Citations

5

H-Index

1

About

Arash Abarghooei is a researcher advancing the frontiers of wearable robotics and intelligent control systems. His work centers on the design and development of assistive robotic devices that enhance human motor capabilities, with a particular focus on hand function. In his most-cited paper, "Development and control of an intelligent assistive exo-glove via fuzzy controller and emotional learning system" (2020), Abarghooei introduced a novel flexible exo-glove that uses a cable-driven mechanism to augment finger strength. The key innovation lies in its hybrid control architecture, which integrates fuzzy logic with an emotional learning system to separately manage force and position during operation. This approach enables more natural, adaptive assistance that mimics human motor learning. While his citation count is still growing—reflecting the early stage of his career—the conceptual originality of his work has established a foundation for next-generation soft wearable robots. Abarghooei’s contributions are particularly relevant for rehabilitation engineering and assistive technology, offering promising pathways for restoring hand function in individuals with neuromuscular impairments.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Development and control of an intelligent assistive exo-glove via fuzzy controller and emotional learning system
5 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Sharif University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago